Prenatal diagnosis of congenital cystic adenomatoid lung malformation: A report of seven cases

Six cases of macrocystic and one case of microcystic congenital adenomatoid lung malformation were diagnosed by ultrasound between 20 and 31 weeks of gestation. Combined polyhydramnios and fetal hydrops was present in three cases, polyhydramnios alone in one case, and isolated fetal hydrops also in one case. In the remaining two cases, both polyhydramnios and fetal hydrops were absent. Fetal outcome was poor, i.e., two terminations of pregnancy, three early neonatal deaths, and two survivors.     

Prenatal karyotyping in malformed fetuses

Experience with prenatal karyotyping of 237 fetuses with sonographic evidence of malformation is reported. Abnormal karyotype was found in 40 cases (16-8 per cent): chromosomal aberrations were found in 19 of the 178 fetuses with an isolated structural anomaly (10-6 per cent) and in 21 of the 59 fetuses with multiple malformations (35-6 per cent). Detailed cytogenetic and morphological information concerning fetuses affected by omphalocele, duodenal atresia, hydrocephalus, multicystic kidney, unilateral hydronephrosis and cystic hygroma is reported. The need for a very careful ultrasound evaluation of fetal anatomy in these pregnancies is stressed, as the risk of a chromosomal anomaly depends mainly on the existence of more than one ultrasonically diagnosed structural defect.     

Maternal serum alpha-fetoprotein and fetal triploidy

Fetal triploidy is commonly found in early pregnancy. The majority of these pregnancies spontaneously abort in the first trimester. Occasionally, the pregnancy progresses to the second and third trimesters. We reviewed the maternal serum alpha-fetoprotein (MSAFP), amniotic fluid alpha-fetoprotein (AFP), amniotic fluid acetylcholinesterase (ACHE), fetal pathology, and placental pathology in sex second-trimester pregnancies complicated by fetal triploidy. Four of these patients had MSAFP values greater than 7.5 multiples of the median (MoM). Five of six pregnancies had MSAFP values greater than 2.25 MoM. All five of these patients had a partial mole. Four patients had amniotic fluid AFP values greater than 2.0 MoM. Two fetuses had associated neural tube defects. These were the only patients with positive amniotic fluid ACHE. None of the other patients had fetuses with anomalies that are known to be associated with an elevated MSAFP. The elevated MSAFP appeared to be related to the presence of a partial mole. Two of the five cases with an MSAFP greater than 2.25 MoM did not have sonographic evidence of a significant anomaly. Therefore, karyotyping can be of benefit in evaluating patients with elevated MSAFP.     

三维铝型材挤压模多参数优化

以一个导流组合模为例,利用神经网络建立模具参数的数学模型,用遗传算法对参数优化。其中由正交法设计得到实验样本,由软试模提取模具的SDV值,将其作为优化目标。最终实验结果与优化值吻合,为建立和控制挤压模参数提供了一种行之有效的手段。     

碳氮结构空心管材料及其对钍离子的吸附性能研究

目的合成碳氮结构空心管材料,用于稀土矿山开采中放射性钍离子的吸附去除,方法通过三聚氰胺和三聚氰酸超分子自组装,经水热碳化及高温热解,制备碳氮结构空心管材料.采用SEM、XRD等对材料进行表征.在不同热解温度和pH值下进行钍离子吸附实验,比较不同钍离子的初始浓度和吸附时间下吸附容量的差异.结果600℃时,材料形貌为均匀的中空管状结构;pH=3.5,热解温度为800℃时,材料最大吸附容量达到133.87 mg/g,吸附过程符合Langmuir等温吸附模型且遵从准二级动力学规律.结论碳氮结构空心管材料对钍离子具有良好的吸附效果,有望用于稀土开采过程中产生的放射性废钍离子的去除.     

Progress in developing an ANN model for air pollution index forecast

An air pollution index (API) reporting system is introduced to selected cities of China for public communication on air quality data. Shanghai is the first city in China providing daily average API reports and forecasts. This paper describes the development of an artificial neural network (ANN) model for the API forecasting in Shanghai. It is a multiple layer perceptron (MLP) network, with meteorological forecasting data as the main input, to output the next day average API values. However, the initial version of the MLP model did not work well. To improve the model, a series of tests were conducted with respect to the training method and structure optimization. Based on the test results, the training algorithm was modified and a new model was built. The new model is now being used in Shanghai for API forecasting. Its performance is shown reasonably well in comparison with observation. The application of the old model was only weakly correlated with observation. In 1-year application, the correlation coefficients were 0.2314, 0.1022 and 0.1710 for TSP, SO₂ and NO_x, respectively. But for the new model, for over 8 months application, the correlation coefficients are raised to 0.6056, 0.6993 and 0.6300 for PM₁₀, SO₂, and NO₂. Further, the new algorithm does not rely on manpower intervention so that it is now being applied in several other Chinese cities with quite different meteorological conditions. The structure of the model and the application results are presented in this paper and also the problems to be further studied.     

天然气引射调峰系统的噪声形成及其治理研究

采用天然气引射调峰技术,能使上海某储配站10台天然气高压球罐的储气调峰能率提高68%,大大有助于解决天然气用气高峰时的供需平衡问题,并能节约初投资人民币1亿元.但使用超音速引射器后,当球罐压力下降到某一值时会产生高频噪声,影响管束区操作环境.本文分析了噪声产生的原因,提出了合理的噪声治理方案,并进行了方案的实施.实践证明:噪声治理效果良好,降低了管束区噪声污染,达到了国家"工业企业噪声卫生标准".     

模糊神经网络控制在污水处理中的应用研究

对模糊神经网络(FNN)技术应用于污水处理进行了研究,提出了一个具有五层的模糊神经网络控制器,仿真实验表明,该控制系统具有很强的鲁棒性与容错性.该控制器能够自动调整隶属度函数、动态优化控制规则,将其应用于溶解氧控制和出水水质预测,结果表明可以快速、有效地使溶解氧浓度达到期望值,实际出水水质预测结果也具有很好的收敛性和预测精度.     

Elman神经网络在抽水地面沉降预测中的应用

将Elman神经网络应用于南京奥体中心地铁站抽水试验初期对地面沉降的预测，提出了一种预测模型。该模型采用对已知数据样本进行分段的方法，把分段后的数据作为网络输入和期望输出训练网络，从而达到动态建模的目的。从预测结果来看，该模型误差较小，基本上能够反映2002—07—21当天地面沉降的真实情况，具有一定的可靠性和实用性，因此，该模型可作为后期由于基坑开挖和防渗排水所引起地面沉降的分析工具。     

基于多智能体和土地转换模型的耕地撂荒模拟研究——以陕西省米脂县为例

多模型耦合已经成为国内外模拟LUCC有效途径之一。论文通过如下步骤阐明宏观耕地撂荒格局和微观主体行为间的互动机理。首先,将微观主体间的相互作用纳入其决策,构建有限理性多智能体决策模型（Multi-Agent System,MAS）;其次,通过SNNS平台的训练学习以及与历史数据对比分析,验证土地转换模型（Land Transformation Model,LTM）模拟研究区宏观撂荒格局的有效性;最后,依据多模型耦合机理,耦合MAS模型与LTM模型,形成耕地撂荒模拟模型（Cropland Abandonment Simulation Model,CASM）,并基于研究区耕地撂荒的实际数据,探讨模型的合理性和可行性。结果表明：与2013年历史土地利用数据对比,CASM模型的PCM（Percent Correct Metric）系数为71%,比单独利用LTM模型的模拟精度提高3%,不仅表明CASM能够较好地模拟分析米脂县耕地撂荒空间格局分布,而且可有效揭示宏观耕地撂荒格局的微观驱动机理;同时,文章指出未来研究中要考虑政策和市场的影响,进一步完善不同层次主体决策对撂荒的影响,以此来提高模型对现实耕地撂荒的解释力。